Mobile Artificial Intelligence (AI) Market Size - By Technology node (7nm, 10nm, 20-28nm), Application (Smartphones, Cameras, Drones, Automobile, Robotics, AR/VR), Growth Prospects, Regional Outlook & Global Forecast, 2023

List of Tables

Mobile Artificial Intelligence (AI) Market size is projected to expand at 25.5% CAGR from 2023-2032 driven by the ongoing deployment of 5G networks globally.

The deployment of 5G technology is revolutionizing mobile communication for providing ultra-fast data speeds and low-latency connectivity. The higher data transfer rate of 5G networks facilitates the efficient execution of complex AI algorithms, fostering the development of AI-driven features in smartphones and other mobile devices. Furthermore, the continuous development of new smartphones embedded with advanced AI technologies is likely to propel the market expansion. To cite an instance, in October 2023, Alphabet's Google unveiled the Pixel 8 smartphone and a new wearable incorporating its AI technology more deeply into its consumer products.

The mobile AI industry is segmented into technology node, application, and region.

Based on technology node, the market value from the 20-28nm segment is expected to gain significant traction through 2032. The growth can be attributed to the rising adoption of this semiconductor technology as it enables the development of more power-efficient and compact AI chips for mobile devices. Smaller node sizes help to enhance the processing capabilities while minimizing power consumption to offer improved performance and energy efficiency in mobile AI applications. The growing prominence of AI-driven features, such as voice recognition, image processing, and ML in smartphones and other mobile devices may also propel the demand for 20-28nm technology nodes.

As per application, the mobile artificial intelligence market from the automobile segment is anticipated to witness high demand between 2023 and 2032. The growing popularity of connected and autonomous vehicles is surging the demand for mobile AI technologies to enhance in-car intelligence. Additionally, the increasing integration of AI-powered features, such as ADAS, voice recognition, and predictive maintenance will contribute to the segment growth.

Regionally, the Asia Pacific mobile AI industry is estimated to expand at a notable CAGR from 2023-2032. The growth is due to rapid technological adoption, the burgeoning smartphone market, and the higher integration of AI-driven features in mobile devices. For instance, in November 2023, Taiwan-based mobile chip designer MediaTek integrated generative AI capabilities into its next chipsets for smartphones. Moreover, the development of 5G infrastructure is also accelerating the deployment of advanced AI functionalities in mobile networks, thereby augmenting the regional industry outlook.

Product Code: 7393

Chapter 1 Methodology & Scope

1.1 Market scope & definition
1.2 Base estimates & calculations
1.3 Forecast calculation
1.4 Data sources
- 1.4.1 Primary
- 1.4.2 Secondary
  - 1.4.2.1 Paid sources
  - 1.4.2.2 Public sources

Chapter 2 Executive Summary

2.1 Mobile artificial intelligence market 360 degree synopsis, 2018 - 2032
2.2 Business trends
- 2.2.1 Total Addressable Market (TAM), 2023-2032
2.3 Regional trends
2.4 Technology node trends
2.5 Application trends

Chapter 3 Mobile Artificial Intelligence Industry Insights

3.1 Impact of COVID-19
3.2 Industry ecosystem analysis
3.3 Vendor matrix
3.4 Profit margin analysis
3.5 Technology & innovation landscape
3.6 Patent analysis
3.7 Key news and initiatives
- 3.7.1 Partnership/Collaboration
- 3.7.2 Merger/Acquisition
- 3.7.3 Investment
- 3.7.4 Product launch & innovation
3.8 Regulatory landscape
3.9 Impact forces
- 3.9.1 Growth drivers
  - 3.9.1.1 Proliferation of smart devices
  - 3.9.1.2 Rise in mobile commerce and payments
  - 3.9.1.3 Advancements in AI technologies
  - 3.9.1.4 Increased focus on user experience
- 3.9.2 Industry pitfalls & challenges
  - 3.9.2.1 Data privacy and security concerns
  - 3.9.2.2 Complex regulatory compliance
3.10 Growth potential analysis
3.11 Porter's analysis
3.12 PESTEL analysis

Chapter 4 Competitive Landscape, 2022

4.1 Introduction
4.2 Company market share, 2022
4.3 Competitive analysis of major market players, 2022
- 4.3.1 IBM Corporation
- 4.3.2 Intel Corporation
- 4.3.3 Qualcomm Inc
- 4.3.4 Microsoft Corporation
- 4.3.5 AWS
- 4.3.6 GoogleLLC
- 4.3.7 Nvidia
4.4 Competitive positioning matrix, 2022
4.5 Strategic outlook matrix, 2022

Chapter 5 Mobile Artificial Intelligence Market Estimates & Forecast, By Technology node (Revenue)

5.1 Key trends, by technology node
5.2 7nm
5.3 10nm
5.4 20-28nm
5.5 Others

Chapter 6 Mobile Artificial Intelligence Market Estimates & Forecast, By Application (Revenue)

6.1 Key trends, by application
6.2 Smartphones
6.3 cameras
6.4 Drones
6.5 Automobile
6.6 Robotics
6.7 AR/VR
6.8 Others

Chapter 7 Mobile artificial intelligence Market Estimates & Forecast, By Region (Revenue)

7.1 Key trends, by region
7.2 North America
- 7.2.1 U.S.
- 7.2.2 Canada
7.3 Europe
- 7.3.1 UK
- 7.3.2 Germany
- 7.3.3 France
- 7.3.4 Italy
- 7.3.5 Spain
- 7.3.6 Nordics
7.4 Asia Pacific
- 7.4.1 China
- 7.4.2 Japan
- 7.4.3 India
- 7.4.4 South Korea
- 7.4.5 Australia
- 7.4.6 Southeast Asia
7.5 Latin America
- 7.5.1 Brazil
- 7.5.2 Mexico
- 7.5.3 Argentina
7.6 MEA
- 7.6.1 South Africa
- 7.6.2 UAE

Chapter 8 63 Saudi Arabia Chapter 8 Company Profiles

8.1 Apple Inc
8.2 Amazon Web Series
8.3 Cambricon Technology
8.4 Cerebras Systems
8.5 Deephi Tech
8.6 Graphcore
8.7 GoogleLLC
8.8 Huawei (Hisilicon)
8.9 IBM Corporation
8.10 Intel Corporation
8.11 Kneron
8.12 Mediatek
8.13 Microsoft Corporation
8.14 Nvidia
8.15 Qualcomm Inc
8.16 Rockchip (Fuzhou Rockchip Electronics Co., Ltd.)
8.17 Sambanova Systems
8.18 Samsung
8.19 Shanghai Thinkforce Electronic Technology Co., Ltd (Thinkforce)
8.20 Thinci